3 часа назад
Research Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer (AI) (LLMs/Agentic Systems): Designing and deploying AI-driven agentic systems for software organizations with an accent on retrieval systems, code generation evaluation, and agent backend architecture. Focus on integrating emerging AI research into customer-facing products, rapidly prototyping AI functionality, and solving platform stability and scalability challenges.
Location: On-site in San Francisco, California, five days per week, within walking distance of Caltrain
Company
develops AI capabilities designed to improve productivity and accelerate innovation within software organizations.
What you will do
- Design, develop, and deploy AI-driven agentic systems for software engineering workflows.
- Build retrieval systems, code generation evaluation capabilities, agentic user experiences, and agent backend architecture.
- Collaborate with product and engineering teams to integrate emerging AI research into customer-facing solutions.
- Prototype and refine AI functionality using real-world feedback and iterative development.
- Identify and resolve product stability and scalability challenges for large-scale operations.
Requirements
- At least 2 years of hands-on AI/ML engineering experience after completing a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
- Proficiency with LLMs and experience applying AI/ML techniques to complex, unstructured problems.
- Ability to work independently on ambiguous research projects from conception through deployment.
- Strong communication skills and a strategic, innovation-oriented mindset.
- Experience with data-intensive applications and familiarity with the software development lifecycle are desirable.
- Availability to work on-site in San Francisco five days per week is required.
Culture & Benefits
- Iterative development based on real-world user and developer feedback.
- Close collaboration across research, product, and engineering functions.
- Focus on practical deployment of emerging AI research.
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